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Visual Servoing Control of Baxter Robot Arms with Obstacle Avoidance Using Kinematic Redundancy

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Intelligent Robotics and Applications (ICIRA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9244))

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Abstract

In this paper, a visual servoing control enhanced by an obstacle avoidance strategy using kinematics redundancy has been developed and tested on Baxter robot. A Point Grey Bumblebee2 stereo camera is used to obtain the 3D point cloud of a target object, which is then utilized to manipulate the closely coupled dual arms of Baxter robot. The object tracking task allocation between two arms has been developed by identifying workspaces of the dual arms and tracing the object location in a convex hull of the workspace. By employment of a simulated artificial robot as a parallel system as well as a task switching weight factor, the actual robot is able to restore back to the natural pose smoothly in the absence of the obstacle. Two sets of experiments carried out demonstrate the effectiveness of the developed servoing control method.

This work is supported in part by EPSRC grants EP/L026856/1 and EP/J004561/1,Guangdong Provincial Natural Science Foundation of China under Grant 2014A030313266 and National Natural Science Foundation (NNSF) of China under Grants 61473120 and 61473038.

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References

  1. Association for safe international road travel statistics. http://www.asirt.org/initiatives/informing-road-users/road-safety-facts/road-crash-statistics.aspx

  2. Chang, W.C., Shao, C.K.: Hybrid fuzzy control of an eye-to-hand robotic manipulator for autonomous assembly tasks. In: Proceedings of the SICE Annual Conference 2010, pp. 408–414 (2010)

    Google Scholar 

  3. Daigavane, P., Bajaj, P.: Road lane detection with improved canny edges using ant colony optimization. In: 2010 3rd International Conference on Emerging Trends in Engineering and Technology (ICETET), pp. 76–80 (2010)

    Google Scholar 

  4. Guizzo, E., Ackerman, E.: How rethink robotics built its new baxter robot worker. IEEE Spectrum (2012)

    Google Scholar 

  5. Hirschmuller, H.: Accurate and efficient stereo processing by semi-global matching and mutual information. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, vol. 2, pp. 807–814 (2005)

    Google Scholar 

  6. Ju, Z., Yang, C., Ma, H.: Kinematics modeling and experimental verification of baxter robot. In: 2014 33rd Chinese Control Conference (CCC), pp. 8518–8523 (2014)

    Google Scholar 

  7. Kamat, V., Ganesan, S.: A robust hough transform technique for description of multiple line segments in an image. In: Proceedings of the 1998 International Conference on Image Processing, ICIP 1998, vol. 1, pp. 216–220 (1998)

    Google Scholar 

  8. Kofman, J., Wu, X., Luu, T., Verma, S.: Teleoperation of a robot manipulator using a vision-based human-robot interface. IEEE Transactions on Industrial Electronics 52(5), 1206–1219 (2005)

    Article  Google Scholar 

  9. Li, C., Ma, H., Yang, C., Fu, M.: Teleoperation of a virtual icub robot under framework of parallel system via hand gesture recognition. In: Proceedings of the 2014 IEEE World Congress on Computational Intelligence, WCCI, Beijing (2014)

    Google Scholar 

  10. Luo, R., Chou, S.C., Yang, X.Y., Peng, N.: Hybrid eye-to-hand and eye-in-hand visual servo system for parallel robot conveyor object tracking and fetching. In: 40th Annual Conference of the IEEE Industrial Electronics Society, IECON 2014, pp. 2558–2563 (2014)

    Google Scholar 

  11. Maciejewski, A.A., Klein, C.A.: Obstacle avoidance for kinematically redundant manipulators in dynamically varying environments. The International Journal of Robotics Research 4(3), 109–117 (1985)

    Article  Google Scholar 

  12. Su, H., He, B.: A simple rectification method of stereo image pairs with calibrated cameras. In: 2010 2nd International Conference on Information Engineering and Computer Science (ICIECS), pp. 1–4 (2010)

    Google Scholar 

  13. Urmson, C., Whittaker, W.: Self-driving cars and the urban challenge. IEEE Intelligent Systems 23(2), 66–68 (2008). doi:10.1109/MIS.2008.34

    Article  Google Scholar 

  14. Wang, X., Yang, C., Ma, H.: Automatic obstacle avoidance using redundancy for shared controlled telerobot manipulator. In: 2015 IEEE 5th Annual International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER) (accepted, 2015)

    Google Scholar 

  15. Wijesoma, W., Kodagoda, K., Balasuriya, A., Teoh, E.: Road edge and lane boundary detection using laser and vision. In: Proceedings of the 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 3, pp. 1440–1445 (2001)

    Google Scholar 

  16. Zlajpah, L., Nemec, B.: Kinematic control algorithms for on-line obstacle avoidance for redundant manipulators. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 2, pp. 1898–1903 (2002)

    Google Scholar 

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Yang, C., Amarjyoti, S., Wang, X., Li, Z., Ma, H., Su, C.Y. (2015). Visual Servoing Control of Baxter Robot Arms with Obstacle Avoidance Using Kinematic Redundancy. In: Liu, H., Kubota, N., Zhu, X., Dillmann, R., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2015. Lecture Notes in Computer Science(), vol 9244. Springer, Cham. https://doi.org/10.1007/978-3-319-22879-2_52

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  • DOI: https://doi.org/10.1007/978-3-319-22879-2_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22878-5

  • Online ISBN: 978-3-319-22879-2

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